Ben Gutenberg Memorial SYC - RJCC

Y-14 Men's Saber

Friday, October 17, 2025 at 2:00 PM

Golisano Training Center at Nazareth University - Rochester, NY, USA

Probability density of pool victories

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Explore the probability of achieving at least a certain number of victories in the pool for each fencer, with their actual victories highlighted in a box. Learn more.

# Name Number of victories
0 1 2 3 4 5 6
1 KOZLOV Lucas 100% 100% 100% 100% 97% 82% 43%
2 YI Andrew 100% 100% 100% 100% 95% 75% 31%
3 MIAO Heqi 100% 100% 100% 98% 88% 59% 19%
3 LAU Kyrus 100% 100% 98% 85% 52% 15%
5 LIANG Morgan 100% 100% 100% 96% 80% 47% 13%
6 DAI Zihou 100% 100% 99% 94% 69% 27%
7 MATTOO Dhruv 100% 99% 88% 53% 15% 1%
8 SHAPIRO Leo 100% 100% 97% 84% 49% 12%
9 SUH Leo 100% 100% 97% 82% 47% 13%
10 SONG Aidan 100% 100% 95% 71% 29% 3%
11 SO Morgan 100% 99% 88% 56% 21% 3%
13 WONG Reagan 100% 100% 96% 78% 40% 9%
14 LIM JUWANA Maximilian 100% 100% 100% 99% 90% 62% 19%
15 ZHANG Weihang 100% 98% 81% 47% 16% 3% -
16 BEAL Colton 100% 100% 100% 96% 80% 46% 13%
17 NGO Emerson 100% 100% 99% 91% 61% 15%
18 PERRIN Leo 100% 100% 100% 95% 75% 32%
19 HENDERSON Louis 100% 100% 99% 92% 72% 38% 9%
20 TASIKAS Peter 100% 100% 99% 91% 69% 35% 8%
21 LEVY Daniel 100% 100% 97% 80% 44% 10%
21 KOREN George 100% 100% 99% 94% 76% 42% 11%
21 SHANKAR Rahm 100% 99% 88% 60% 26% 6% 1%
24 WANG ARAN 100% 100% 94% 73% 38% 11% 1%
25 AVERY Marcus 100% 100% 95% 79% 47% 16% 2%
26 HAHN EVER 100% 99% 92% 67% 31% 6%
27 TAYCHER Aaron 100% 99% 92% 70% 34% 7%
28 CHEN Felix 100% 100% 99% 91% 68% 32% 7%
29 BRADY Jack 100% 99% 92% 67% 33% 9% 1%
30 ISAYENKO Daniel 100% 100% 100% 99% 89% 51%
31 HUA George (Hanxun) 100% 99% 89% 66% 34% 10% 1%
32 ZHANG Eric 100% 83% 46% 16% 3% -
33 KONDOGI Saivarun 100% 97% 83% 53% 22% 5% -
34 LE CORVEC Thomas 100% 100% 100% 99% 93% 60%
35 YU Justin 100% 100% 95% 73% 32% 4%
36 KUANG Cyrus 100% 97% 77% 41% 12% 1%
37 YANG LOUIS 100% 100% 93% 69% 34% 9% 1%
37 KOREN David 100% 99% 90% 66% 34% 10% 1%
39 LU Simon 100% 97% 83% 52% 21% 5% -
40 SOCHNIKOV Jacob 100% 92% 63% 26% 6% 1% -
41 CHEN Leo 100% 99% 93% 70% 33% 7%
42 LI Kent 100% 93% 66% 27% 6% -
43 LIU Tyler,yiwei 100% 100% 95% 77% 43% 11%
44 ARCHIBALD Zachary 100% 100% 98% 89% 64% 29% 6%
45 LI Lucas 100% 81% 38% 8% 1% -
46 HE Nolan 100% 99% 92% 67% 31% 7% 1%
47 ATA Kevin 100% 99% 88% 59% 24% 5% -
48 ZHANG Caleb 100% 96% 77% 44% 15% 3% -
49 GUERRA Corey 100% 95% 72% 32% 7% 1%
50 ALUF Brendon 100% 99% 89% 61% 23% 3%
51 VIDREVICH David 100% 99% 90% 62% 25% 4%
52 MOTOV Max 100% 99% 92% 67% 30% 6%
53 PARK Layne 100% 98% 86% 58% 26% 6% 1%
54 SUN Leonard 100% 89% 56% 21% 5% - -
55 WU Vincent 100% 100% 96% 78% 45% 14% 1%
56 LENDVAI Lorand 100% 100% 96% 80% 51% 20% 3%
57 RISMAN Edward 100% 85% 46% 13% 2% -
58 YE Ian 100% 98% 87% 58% 22% 4% -
59 SCHWARTZMAN Jakub 100% 94% 69% 33% 8% 1%
60 APOSTOLERIS Leander 100% 98% 85% 52% 18% 2%
61 LEE Shane Gunn 100% 95% 74% 39% 12% 1%
62 CHEN Mark 100% 88% 54% 19% 3% -
64 QIN Lucas 100% 100% 95% 77% 44% 14% 2%
65 MAKLIN David 100% 87% 47% 13% 1% -
66 REINHART Rowan 100% 78% 37% 9% 1% -
67 LEE Aiden 100% 98% 82% 45% 11% 1%
68 CORDERO Adam 100% 99% 92% 65% 28% 5%
69 AWAD Omar 100% 97% 74% 36% 9% 1%
70 GAW Christian 100% 61% 19% 3% - -
71 CHEN Brian 100% 88% 56% 22% 5% - -
72 GAW Zachary 100% 71% 27% 5% - -
73 LAN Jasper 100% 95% 74% 42% 15% 3% -
74 LIU Jeremy 100% 100% 97% 83% 52% 19% 3%
75 PARK Sean 100% 98% 80% 45% 15% 3% -
76 GAYTAN Antonio 100% 45% 10% 1% - - -
77 POULSEN Emmitt 100% 100% 97% 73% 33% 7% 1%
78 STYS Owen 100% 82% 43% 13% 2% - -
79 LI kevin 100% 78% 37% 9% 1% -
79 HUANG Lucas 100% 41% 8% 1% - -
81 SOBOLEWSKI Isaac 100% 38% 7% 1% - - -
82 ZHERENOVSKY Alan 100% 65% 23% 4% - -
83 HUANG KIMBALL 100% 68% 26% 5% 1% - -
83 YANG Ted 100% 98% 84% 51% 18% 3% -
85 CADET Sebastian 100% 98% 77% 26% 3% -
86 TRAGGIS-LOUGHMAN Isaac 100% 99% 78% 38% 9% 1% -

Explanation

The heatmap in this table provides a visual representation of the victory probability distribution for each fencer in their respective pools:

This heatmap visualization offers an immediate understanding of each fencer's expected performance compared to their actual results.